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利用陆地卫星数据对印度拉姆萨尔湿地哈里克湿地的变化特征进行分析。

Characterization of change in the Harike wetland, a Ramsar site in India, using landsat satellite data.

作者信息

Mabwoga Samson Okongo, Thukral Ashwani Kumar

机构信息

Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, 143 005 Punjab India ; School of Tourism and Natural Resources Management, Department of Environment, Forestry and Agriculture, Maasai Mara University, P.O. Box 861-20500, Narok, Kenya.

Department of Botanical and Environmental Sciences, Guru Nanak Dev University, Amritsar, 143 005 Punjab India.

出版信息

Springerplus. 2014 Oct 1;3:576. doi: 10.1186/2193-1801-3-576. eCollection 2014.

DOI:10.1186/2193-1801-3-576
PMID:25332876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4201658/
Abstract

The increasing population in the developing countries has rendered wetlands vulnerable to land use changes. Remote sensing offers a rapid and efficient means of data acquisition of ecosystems in time and space. The present study was undertaken to identify changes in the Harike wetland, a Ramsar site in the state of Punjab, India; and identify causal factors, as well as vulnerable areas threatened from the land cover changes. Unsupervised classification and post-classification change detection techniques were applied to Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data of 16-10-1989, 22-10-2000 and 26-10-2010. Images were classified into five land cover classes (1) Waterbody, (2) Wetland I, (3) Wetland II, (4) Barren land and (5) Agricultural land. Land cover change is characterized mainly by a decrease in the wetland area, as indicated by decrease in wetland vegetation and an increase in non-wetland areas, characterized by increasing agricultural and barren land areas. Overall, the wetland shrunk by 13% from 1989 to 2010, with the north-eastern side experiencing maximum shrinkage. The wetland needs immediate reclamation to check it from further shrinkage so as to save its biodiversity.

摘要

发展中国家不断增长的人口使湿地容易受到土地利用变化的影响。遥感提供了一种在时间和空间上快速高效获取生态系统数据的手段。本研究旨在识别印度旁遮普邦拉姆萨尔湿地哈里凯湿地的变化;确定因果因素以及受土地覆盖变化威胁的脆弱区域。对1989年10月16日、2000年10月22日和2010年10月26日的陆地卫星专题制图仪(TM)和增强型专题制图仪Plus(ETM+)数据应用了非监督分类和分类后变化检测技术。图像被分为五类土地覆盖类型:(1)水体,(2)湿地I,(3)湿地II,(4)裸地和(5)农业用地。土地覆盖变化的主要特征是湿地面积减少,表现为湿地植被减少,非湿地面积增加,表现为农业用地和裸地面积增加。总体而言,从1989年到2010年,湿地面积缩小了13%,其中东北侧萎缩最为严重。该湿地需要立即进行开垦,以防止其进一步萎缩,从而保护其生物多样性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/1e2f766995f8/40064_2014_1302_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/1642d5a1865d/40064_2014_1302_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/15fcdae54efa/40064_2014_1302_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/fb8fb7ee0a8c/40064_2014_1302_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/643c165bf0e3/40064_2014_1302_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/5d580db7610c/40064_2014_1302_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/1e2f766995f8/40064_2014_1302_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/1642d5a1865d/40064_2014_1302_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/15fcdae54efa/40064_2014_1302_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/fb8fb7ee0a8c/40064_2014_1302_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/643c165bf0e3/40064_2014_1302_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/5d580db7610c/40064_2014_1302_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa4d/4201658/1e2f766995f8/40064_2014_1302_Fig6_HTML.jpg

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